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/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machinelearning methods, in particular for data integration tasks, would be a plus
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deep shotgun sequencing data to profile the microbiome at the taxonomic and functional levels and applying statistical analyses to large datasets to identify (ideally, genetic) factors affecting
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screens, statistical genetics, and the integration of genetic and regulatory data. This multidisciplinary approach gives us unique opportunities to engage in collaborative projects that combine experimental
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